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machine-learning-workflow-with-python

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

machine_learning_examples

A collection of machine learning examples and tutorials.

macro_ml

Course Website on Macroeconomic Analysis with Machine Learning and Big Data

macroeconomics-with-python

Macroeconomics with Python

mastering-machine-learning-with-r-third-edition

Mastering Machine Learning with R, Third edition, by Packt

micro-metrics

This is a 2nd Year PhD Course In Micro-econometrics

missingno

Missing data visualization module for Python.

ml-from-scratch

Machine Learning algorithms implemented in Python from scratch

ml-tutorial

Introduction to ML packages for the 6.86x course

ml_lifecycle_lab

A collection of notebooks for walking through the typical ML lifecycle from data cleaning through to model hosting using Amazon SageMaker.

mlinference

mtpa

Modeling Techniques in Predictive Analytics with Python and R

multidimensional-lstm-bitcoin-time-series

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

mustapha-wasseja.github.io

Build a Jekyll blog in minutes, without touching the command line.

neural-net-with-financial-time-series-data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

nhb_2019

The code used to produce analyses reported in Orben and Przybylski (2019), The association between adolescent well-being and digital technology use, Nature Human Behaviour

nhs_r_community_intro_to_docker

This is an introduction to deploying your apps on a Docker container, accessing it as an API and using the docker container

non-parametric-bayes-updating

Non-parametric kernel methods for updating a Bayesian model's parameters with new batches of data

numerical-methods

Graduate level course on numerical methods for economists

nyu_macro_fall_2018

Course notes for the first half of ECON-GA 1025 – Macroeconomic Theory I, Fall Semester 2018

os-data-hub-tutorials

Step-by-step guides to get your project up and running. Here you'll find out how we develop solutions with our APIs. You can follow our step-by-step guides to start building your own innovative projects. These tutorials are related to the Mapping and Data APIs available from our Data Hub (https://osdatahub.os.uk/).

pandas-data-cleaning-tricks

Inspired by my "Data cleaning tricks in R" workshop: https://github.com/underthecurve/r-data-cleaning-tricks

paneldatamatlab

A Panel Data Toolbox for MATLAB

pdswr2

Code, Data, and Examples for Practical Data Science with R 2nd edition (Nina Zumel and John Mount) https://github.com/WinVector/PDSwR2

practical-time-series-analysis

Practical Time-Series Analysis, published by Packt

presentations

Slide decks from talks

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

psecta

club convergence test and clustering

pvar

R code to do econometrics experiments.

pymaclab

Dynamic Stochastic Equilibrium Models (DSGE) in Python